代码搜索：Sampling
找到约 3,969 项符合「Sampling」的源代码
代码结果 3,969
www.eeworm.com/read/199774/7823200
m program_10_6.m
% Program 10_6
% Illustration of Interpolation Process
%
clf;
N = input('Length of input signal = ');
L = input('Up-sampling factor = ');
f1 = input('Frequency of first sinusoid = ');
f2 = inpu
www.eeworm.com/read/199774/7823239
m program_10_5.m
% Program 10_5
% Illustration of Decimation Process
%
clf;
N = input('Length of input signal = ');
M = input('Down-sampling factor = ');
f1 = input('Frequency of first sinusoid = ');
f2 = input
www.eeworm.com/read/247001/12693005
cpp dsys.cpp
// Model: dsys
// Sampling period = 0.100000 seconds
// Generated at 19:17:17 on 26-Feb-2003
class dsys
{
public:
// n = #states, m = #outputs, r = #inputs
enum {n = 2, m = 1, r = 1}
www.eeworm.com/read/243870/12911083
readme
README file for resample-1.x.tgz from the
Digital Audio Resampling Home Page located at
http://ccrma.stanford.edu/~jos/resample/.
SOFTWARE FOR SAMPLING-RATE CONVERSION AND FIR DIGITAL FILTER DESIGN
www.eeworm.com/read/325790/13185059
m rs_stratified.m
function [x,w] = rs_stratified(x,w,N)
%RS_STRATIFIED stratified resampling
%
% [X,W] = RS_STRATIFIED(X,W) resamples the states X
% and their associated weights W using stratified
% sampling .
%
www.eeworm.com/read/325790/13185064
m rs_systematic.m
function [x,w] = rs_systematic(x,w,N)
%RS_SYSTEMATIC systematic resampling
%
% [X,W] = RS_SYSTEMATIC(X,W) resamples the states X
% and their associated weights W using systematic
% sampling .
%
www.eeworm.com/read/136697/13365525
m td_dat.m
echo off
% td_dat.m
%
% Analysis of the fuzzy controller regulating a first order plant (T=1) and
% a dead time of two seconds. Sampling period equals one second.
% For details of plant and discrete P
www.eeworm.com/read/321160/13411584
m ip_07_01.m
% MATLAB script for Illustrated Problem 1, Chapter 7.
echo on
T=1;
delta_T=T/200; % sampling interval
alpha=0.5; % roll-off factor
fc=40/T; % carrier frequency
A_
www.eeworm.com/read/320176/13431596
m lpcrand.m
function ar=lpcrand(p,n,bw)
% generate n random stable polynomials of order p with a minimum pole
% bandwidth of bw*fs where fs is the sampling fequency.
% To limit the pole radius to r set bw=-log
www.eeworm.com/read/320175/13431636
m lpcrand.m
function ar=lpcrand(p,n,bw)
% generate n random stable polynomials of order p with a minimum pole
% bandwidth of bw*fs where fs is the sampling fequency.
% To limit the pole radius to r set bw=-log